Find data in publicly accessible online sources e.g. UCI, data.world, Kaggle, webpages, APIs, etc.

Explain what your data is about, where was it collected, and the meaning of all its attributes. You should have an overall goal for your data analysis. This goal will help you plan what to do in parts 1, 2 and 3.

Import the piece/soft data and perform any cleaning and merging to produce a final data frame. Explain the steps necessary to clean the data. What is the meaning of each row in the final dataframe?

Carry out a general exploration of this data frame to develop an overall understanding of the data. Explain and/or discuss any values and/or visualisation reported.

Focus on a particular subset of the dataframe and drill down into it extracting details to answer a series of questions that are of interest to you as ananalyst - Ideally the motivation for such questions would beframed within the context of a hypothetical use case scenario.